code: def get_default_config(cls) -> AlgorithmConfig:
      return DQNConfig()
  
imports: import logging
  from typing import List, Optional, Type, Callable
  import numpy
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
  from ray.rllib.algorithms.dqn.dqn_tf_policy import DQNTFPolicy
  from ray.rllib.algorithms.dqn.dqn_torch_policy import DQNTorchPolicy
  from ray.rllib.algorithms.simple_q.simple_q import SimpleQ, SimpleQConfig
  from ray.rllib.execution.rollout_ops import synchronous_parallel_sample
  from ray.rllib.policy.sample_batch import MultiAgentBatch
  from ray.rllib.execution.train_ops import train_one_step, multi_gpu_train_one_step
  from ray.rllib.policy.policy import Policy
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.replay_buffers.utils import update_priorities_in_replay_buffer
  from ray.rllib.utils.typing import ResultDict
  from ray.rllib.utils.metrics import LAST_TARGET_UPDATE_TS, NUM_AGENT_STEPS_SAMPLED, NUM_ENV_STEPS_SAMPLED, NUM_TARGET_UPDATES, SAMPLE_TIMER, SYNCH_WORKER_WEIGHTS_TIMER
  from ray.rllib.utils.deprecation import DEPRECATED_VALUE
  from ray.rllib.utils.replay_buffers.utils import sample_min_n_steps_from_buffer
label_desc: Use image node_id 1 for calling the DQN obj's underlying member method code with example usage: obj.get_default_config(cls) and returns: DQNConfig